MATH 204: Principles of Statistics 2
Winter 2007

> Research

> Teaching

> Mathematics and Statistics
> McGill University

Tutorials:
• Tuesday 13.00-14.00 (Burnside BURN 708)
• Wednesday 14.30-15.30 (Burnside BURN 1205)
• Office Hour for Lecturer: Monday 15.00-17.00.
• Office Hour for TA Geva Maimon: Tuesday 14.00-15.00.
HANDOUTS
Method of Evaluation
Syllabus

For the birthweight example:
 SECTION 1: ANOVA: SPSS Screens/Results for ANOVA: ANOVA Results Multiple Comparisons in SPSS Screens Output Randomized Block ANOVA in SPSS Screens Output RDB with replication ANOVA in SPSS Screens FD with replication ANOVA in SPSS Results SECTION 2: Regression and the General Linear Model: Simple Linear Regression in SPSS Screens Blood viscosity vs PCV Plot Blood viscosity vs PCV Plot with prediction intervals Yule's (1926) paper on "nonsense correlations" Linear Regression Examples Linear Regression in SPSS - Results Multiple Regression Example - Viscosity Data Multiple Regression Example - Viscosity Data: SPSS Screens Factor Regression Example: Binary Factor Plots Factor Regression Example: Diabetes Data Factor Regression Model Formulation and Diabetes Data Factor Regression Example: - Diabetes Data: SPSS Screens Factor Regression via Dummy Variables Stepwise Selection in the General Linear Model Annotated ANOVA for the Diabetes Data Stepwise Selection in Potato and Task Distraction Data Issues and Pitfalls of Regression Modelling SECTION 3: Non-parametric Statistics Categorical Data Examples Chi-squared test for Categorical Data Screens Non-parametric one and two sample tests. Non-parametric one and two sample tests - EXAMPLES Two dependent and three or more independent samples Spearman's Rank Correlation Coefficient The Role of Randomization Distribution Free Tests

 ASSIGNMENTS Assignment 1 Data (SPSS) Data (Plain Text) Solutions 1 Assignment 2 Data (SPSS) Data (Plain Text) Solutions 2 Assignment 3 Data (SPSS) Q1 Solutions 3                      Data (SPSS) Q2                      Data (SPSS) Q3 MID-TERM Mid-term (to save the data, use Right Click, Save As) EXERCISES Exercises 1 Data (SPSS) Data (Excel)    Solutions 1  SPSS Exercises 2 Data (SPSS)                       Solutions 2 Exercises 3 Data (SPSS)                       Solutions 3 Exercises 4 Data (SPSS) Data (txt)        Solutions 4 Exercises 5 Oysters data (SPSS)           Solutions 5                   Oranges data (SPSS)                   Cotton data (SPSS)                   Doses data (SPSS) EXAM 2006

DATA SETS
 Birthweight Data(SPSS) Analysis SECTION 1: ANOVA: SECTION 2: Regression and the General Linear Model: SECTION 3: Non-parametric Statistics

Lecture Calendar

 Contact Details: Professor David A. Stephens Room 1235, Burnside Hall Department of Mathematics and Statistics McGill University Phone: 514-398-2005 Fax: 514-398-3899 E-mail : d.stephens@math.mcgill.ca